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naver
/
efficient-splade-VI-BT-large-query

Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
Model card Files Files and versions
xet
Community
3

Instructions to use naver/efficient-splade-VI-BT-large-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use naver/efficient-splade-VI-BT-large-query with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="naver/efficient-splade-VI-BT-large-query")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("naver/efficient-splade-VI-BT-large-query")
    model = AutoModelForMaskedLM.from_pretrained("naver/efficient-splade-VI-BT-large-query")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add sentence-transformers library_name and filtering tags

#3 opened 11 months ago by
tomaarsen

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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